Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy-Reference-Cited by-同舟云学术

Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy

Published:2024 Issue:4 Volume:25 Page:374
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Suh Pae Sun¹^ORCID,Park Ji Eun¹^ORCID,Roh Yun Hwa¹^ORCID,Kim Seonok²^ORCID,Jung Mina³^ORCID,Koo Yong Seo³^ORCID,Lee Sang-Ahm³^ORCID,Choi Yangsean¹^ORCID,Kim Ho Sung¹^ORCID

Affiliation:

1. Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

2. Department of Clinical Epidemiology and Biostatics, University of Ulsan college of Medicine, Asan Medical Center, Seoul, Republic of Korea.

3. Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Funder

National Research Foundation of Korea

Korea Health Industry Development Institute

Publisher

XMLink

Link

https://kjronline.org/pdf/10.3348/kjr.2023.0842

Reference31 articles.

1. Early Surgical Therapy for Drug-Resistant Temporal Lobe Epilepsy

2. Evidence on Use of Neuroimaging for Surgical Treatment of Temporal Lobe Epilepsy

3. Magnetic resonance imaging-based volume studies in temporal lobe epilepsy: Pathological correlations

4. Characteristics and Surgical Outcomes of Patients With Refractory Magnetic Resonance Imaging–Negative Epilepsies

5. The value of repeat neuroimaging for epilepsy at a tertiary referral centre: 16 years of experience

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